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🚀 ASI:<Train/> Launches Brain Tumor Detection Model – Specialized AI for Healthcare!
We’re proud to unveil the ASI:<Train/> Brain Tumor Detection Model — the first release in the Medici family of expert AI systems, developed by the Artificial Superintelligence Alliance and powered by ASI-Mini, the world’s first Web3-native orchestration LLM. đź§
This marks a giant leap in applying domain-specific AI to one of medicine’s toughest challenges: Accurate detection and segmentation of brain tumors from MRI scans.
🔹 Why This Matters?
Generalist AI can’t match the precision needed for critical healthcare decisions. That’s why we’re building specialized AI models—like our brain tumor detector—to bring clinical-grade accuracy to real-world workflows.
✨ Key Innovations
✅ Medical-Grade Precision – Deep learning models trained on top BraTS datasets.
✅ Expert-Level Segmentation – Detects 3 tumor subregions across 4 MRI modalities.
✅ Powered by ASI-Mini – Our orchestrator LLM routes queries to expert agents for surgical-grade results.
✅ Web3-Ready & Open Source – Transparent, secure, and community-driven.
🚀 What’s Next?
⚡️ Retraining and fine-tuning to further improve the quality of expert systems
⚡️ Expanding the Medici model family with additional models
⚡️ The release of the ASI:<Train/> information portal
đź”— Read the full press-release: https://x.com/ASI_Alliance/status/1912953079483314663
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